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» The Common State Filter for SLAM
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VVS
1998
IEEE
91views Visualization» more  VVS 1998»
13 years 11 months ago
Design of Accurate and Smooth Filters for Function and Derivative Reconstruction
The correct choice of function and derivative reconstruction filters is paramount to obtaining highly accurate renderings. Most filter choices are limited to a set of commonly use...
Torsten Möller, Klaus Mueller, Yair Kurzion, ...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 1 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
CAV
2003
Springer
140views Hardware» more  CAV 2003»
14 years 24 days ago
Certifying Optimality of State Estimation Programs
Abstract. The theme of this paper is certifying software for state estimation of dynamic systems, which is an important problem found in spacecraft, aircraft, geophysical, and in m...
Grigore Rosu, Ram Prasad Venkatesan, Jon Whittle, ...
ICASSP
2010
IEEE
13 years 7 months ago
Multi-object filtering from image sequence without detection
Almost every single-view visual multi-target tracking method presented in the literature includes a detection routine that maps the image data to point measurements relevant to th...
Reza Hoseinnezhad, Ba-Ngu Vo, David Suter, Ba-Tuon...
ICIP
2007
IEEE
14 years 9 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso